Chris Degrendele
Pathways Student Researcher
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolChris Degrendele is a computational scientist and Pathways Student Researcher at NASA Ames with eight years of experience applying applied mathematics and high-performance computing to aerospace problems. Currently pursuing a PhD in Applied Mathematics at UC Santa Cruz, he contributes to the LAVA launch ascent and vehicle simulations while bringing hands‑on expertise in particle advection and interpolation from significant contributions to the widely used AMReX adaptive mesh refinement framework. His background spans national labs and industry internships, blending data‑driven methods with numerical PDE techniques developed during multiple research stints at Berkeley Lab. Based in the San Francisco Bay Area, he bridges theoretical rigor and production code optimization, and has a track record of making legacy simulation code more dimension‑agnostic and efficient—skills forged from both teaching and research roles.
8 years of coding experience
University of California Santa CruzBachelor's degree, Double Major: Physics and Astronomy/Planetary Sciences, Bachelor's degree, Double Major: Physics and Astronomy/Planetary Sciences at Stony Brook University
Github Skills (7)
cluster-computing10
c-language10
parallel-computing10
cprogramming-language10
amr10
scientific-computing9
gpu-programming8
Programming languages (8)
Github contributions (5)
AMReX-Codes/amrex
Jun 2019 - Aug 2019
AMReX: Software Framework for Block Structured AMR
Role in this project:
Backend Developer
Backend DeveloperContributions:44 commits, 5 PRs, 2 comments in 1 month
Contributions summary:Chris primarily contributed to the `AMReX` framework, focusing on particle advection and interpolation methods. Their work involved modifying and enhancing the `AMReX_TracerParticles.cpp` file, implementing dimension-agnostic features, and optimizing particle advection using cell-centered velocities. They also added functions for interpolating MAC velocities and made the code more efficient by removing unnecessary lines.
amrmpistructuredsnl-applicationsmultiphysics
ChrisDeGrendele/Castro
Nov 2018 - Aug 2020
An adaptive mesh, astrophysical radiation hydrodynamics simulation code
Contributions:29 pushes, 3 branches in 1 year 9 months
meshgravityradiationadaptivesimulation
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